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Advanced Analytics Remote Jobs in New York (NOW HIRING)

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... Hands-on experience in building data solutions for advanced analytics * Deep knowledge of Big-Data ...

Senior Financial Analyst - REMOTE

Dobbs Ferry, NY · On-site +1

$89K - $111K/yr

As a remote organization, we thrive on collaboration and recognize outstanding performance. We are ... A critical component of this role is leveraging advanced data analytics, financial technology, and ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Applying advanced analytics, quantitative tools, and modeling techniques, you'll interpret and ...

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Advanced Analytics Remote information

What is the difference between Advanced Analytics Remote vs Data Analyst Remote?

AspectAdvanced Analytics RemoteData Analyst Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often certifications in analytics toolsBachelor's in Data, Statistics, or related fields; some certifications preferred
Work EnvironmentRemote, often collaborative with data science teamsRemote, typically individual-focused data analysis tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors
Common Search & Comparison IntentUnderstanding roles requiring advanced analytics skills remotelyFinding remote data analysis jobs and differentiating roles

Advanced Analytics Remote involves working with complex data models, machine learning, and predictive analytics, often requiring specialized skills and certifications. Data Analyst Remote focuses on interpreting data, creating reports, and supporting decision-making with less emphasis on advanced modeling. Both roles are remote but differ in complexity and technical depth.

What are the key skills and qualifications needed to thrive as an Advanced Analytics professional working remotely, and why are they important?

To excel as an Advanced Analytics professional in a remote setting, a strong background in statistics, data analysis, and a relevant degree (such as in mathematics, computer science, or data science) is essential. Expertise with technical tools like Python, R, SQL, data visualization platforms (such as Tableau or Power BI), and familiarity with cloud analytics services is typically required. Outstanding problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and project delivery. These skills ensure that analytical insights are accurate, actionable, and delivered efficiently in a distributed work environment.

What is an Advanced Analytics Remote job?

An Advanced Analytics Remote job involves using data analysis, statistical modeling, and machine learning techniques to extract insights and support business decisions, all while working from a remote location. Professionals in this role analyze complex datasets, build predictive models, and create data visualizations to help organizations solve problems and identify trends. These positions often require strong skills in programming languages such as Python or R, as well as experience with analytics platforms and data visualization tools.

What are some common challenges faced by professionals in remote Advanced Analytics roles, and how can they be addressed?

Professionals in remote Advanced Analytics roles often encounter challenges such as effective communication with cross-functional teams, managing data security, and maintaining access to necessary tools and datasets. To address these, it's important to establish clear communication channels, leverage collaboration platforms, and follow strict data governance protocols. Regular virtual meetings and documentation also help ensure alignment and project progress, while proactive engagement with IT teams can resolve technical hurdles quickly.
What are the most commonly searched types of Advanced Analytics jobs in New York? The most popular types of Advanced Analytics jobs in New York are:
What job categories do people searching Advanced Analytics Remote jobs in New York look for? The top searched job categories for Advanced Analytics Remote jobs in New York are:
What cities in New York are hiring for Advanced Analytics Remote jobs? Cities in New York with the most Advanced Analytics Remote job openings:

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Re-posted 29 days ago


Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth. 
 
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment
Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)
Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy
Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights
Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)
This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact
Benefits
  • Competitive Salary
  • Health Insurance - (US Only) 
  • 401(k) - (US Only) 
  • Remote Work Environment
  • Maternity/Paternity Leave
$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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